Garis besar topik

  • Image Segmentation

    Segmentation subdivides an image into its constituent regions or objects.The level of detail to which the subdivision is carried depends on the problem being solved.That is, segmentation should stop when the objects or regions of interest in an application have been detected. For example, in the automated inspection of electronic assemblies, interest lies in analyzing images of products with the objective of determining the presence or absence of specific anomalies, such as missing components or broken connection paths. There is no point in carrying segmentation past the level of detail required to identify those elements.